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» On Structural Analysis of Large Networks
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ICML
2009
IEEE
16 years 5 months ago
Structure learning of Bayesian networks using constraints
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...
Cassio Polpo de Campos, Zhi Zeng, Qiang Ji
DAC
2006
ACM
16 years 5 months ago
Symmetry detection for large Boolean functions using circuit representation, simulation, and satisfiability
- Classical two-variable symmetries play an important role in many EDA applications, ranging from logic synthesis to formal verification. This paper proposes a complete circuit-bas...
Jin S. Zhang, Alan Mishchenko, Robert K. Brayton, ...
CSDA
2010
67views more  CSDA 2010»
15 years 4 months ago
Factor-GMM estimation with large sets of possibly weak instruments
This paper analyses the use of factor analysis for instrumental variable estimation when the number of instruments tends to infinity. We consider cases where the unobserved factor...
George Kapetanios, Massimiliano Marcellino
ICDM
2008
IEEE
127views Data Mining» more  ICDM 2008»
15 years 10 months ago
The Impact of Structural Changes on Predictions of Diffusion in Networks
In a typical realistic scenario, there exist some past data about the structure of the network which are analyzed with respect to some possibly future spreading process, such as b...
Mayank Lahiri, Arun S. Maiya, Rajmonda Sulo, Habib...
CIKM
2005
Springer
15 years 6 months ago
DIST: a distributed spatio-temporal index structure for sensor networks
We consider the general problem of tracking moving objects in sensor networks. The specific application we consider is that of tracking a chemical plume moving over a large infra...
Anand Meka, Ambuj K. Singh